Title
An Intelligent Trust Cloud Management Method for Secure Clustering in 5G Enabled Internet of Medical Things
Abstract
5G edge computing enabled Internet of Medical Things (IoMT) is an efficient technology to provide decentralized medical services while device-to-device (D2D) communication is a promising paradigm for future 5G networks. To assure secure and reliable communication in 5G edge computing and D2D enabled IoMT systems, this article presents an intelligent trust cloud management method. First, an active training mechanism is proposed to construct the standard trust clouds. Second, individual trust clouds of the IoMT devices can be established through fuzzy trust inferring and recommending. Third, a trust classification scheme is proposed to determine whether an IoMT device is malicious. Finally, a trust cloud update mechanism is presented to make the proposed trust management method adaptive and intelligent under an open wireless medium. Simulation results demonstrate that the proposed method can effectively address the trust uncertainty issue and improve the detection accuracy of malicious devices.
Year
DOI
Venue
2022
10.1109/TII.2021.3128954
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
5G edge computing,device-to-device (D2D) communication,Internet of Medical Things (IoMT),security,trust cloud
Journal
18
Issue
ISSN
Citations 
12
1551-3203
2
PageRank 
References 
Authors
0.36
0
6
Name
Order
Citations
PageRank
Liu Yang120.70
Keping Yu2205.07
Simon X. Yang31029124.34
Chinmay Chakraborty420.70
Yinzhi Lu551.09
Tan Guo641.07